April 2020
Intermediate to advanced
438 pages
12h 2m
English
Content preview from Python Image Processing Cookbook
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How it works...
Note that, for an image, the x axis is the vertical (+ve downward) axis and the y axis is the horizontal (+ve left-to-right) axis.
With the affine_transform() function, the pixel value at location o in the output (transformed) image is determined from the pixel value in the input image at position np.dot(matrix, o) + offset. Hence, the matrix that needs to be provided as input to the function is actually the inverse transformation matrix.
In some of the cases, an additional matrix is used for translation, to bring the transformed image within the frame of visualization.
The preceding code snippets show how to implement different affine transformations such as reflection, scaling, rotation, and shear using the affine_transform() ...
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